EP4185932A2 - Monitoring of a converter - Google Patents
Monitoring of a converterInfo
- Publication number
- EP4185932A2 EP4185932A2 EP21797966.5A EP21797966A EP4185932A2 EP 4185932 A2 EP4185932 A2 EP 4185932A2 EP 21797966 A EP21797966 A EP 21797966A EP 4185932 A2 EP4185932 A2 EP 4185932A2
- Authority
- EP
- European Patent Office
- Prior art keywords
- converter
- warnings
- warning
- power converter
- error
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 21
- 238000000034 method Methods 0.000 claims abstract description 41
- 238000004458 analytical method Methods 0.000 claims description 49
- 238000013473 artificial intelligence Methods 0.000 claims description 7
- 238000011156 evaluation Methods 0.000 claims description 3
- 230000002265 prevention Effects 0.000 claims description 2
- 238000001816 cooling Methods 0.000 description 12
- 238000012790 confirmation Methods 0.000 description 3
- 230000003862 health status Effects 0.000 description 3
- 238000009413 insulation Methods 0.000 description 3
- 238000004519 manufacturing process Methods 0.000 description 3
- 239000011159 matrix material Substances 0.000 description 3
- 239000004065 semiconductor Substances 0.000 description 3
- 230000001427 coherent effect Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 239000000110 cooling liquid Substances 0.000 description 2
- 230000002950 deficient Effects 0.000 description 2
- 230000001419 dependent effect Effects 0.000 description 2
- 230000036541 health Effects 0.000 description 2
- 238000010438 heat treatment Methods 0.000 description 2
- 238000009434 installation Methods 0.000 description 2
- 230000035484 reaction time Effects 0.000 description 2
- 230000008439 repair process Effects 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 238000013459 approach Methods 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 238000007664 blowing Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 238000002372 labelling Methods 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
- 238000004801 process automation Methods 0.000 description 1
- 238000010972 statistical evaluation Methods 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
- 239000002351 wastewater Substances 0.000 description 1
- 238000004804 winding Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/40—Testing power supplies
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
- G05B23/0221—Preprocessing measurements, e.g. data collection rate adjustment; Standardization of measurements; Time series or signal analysis, e.g. frequency analysis or wavelets; Trustworthiness of measurements; Indexes therefor; Measurements using easily measured parameters to estimate parameters difficult to measure; Virtual sensor creation; De-noising; Sensor fusion; Unconventional preprocessing inherently present in specific fault detection methods like PCA-based methods
Definitions
- the invention relates to monitoring of a power converter or the monitoring of a drive, wherein the drive has at least one power converter, wherein the drive can also have an electrical machine, such as a motor or a generator, in addition to a power converter.
- a power converter makes it possible to operate an electrical machine, such as a motor, with a variable speed.
- a power converter can also be used to convert the electrical current.
- a grid feed-in can be implemented.
- the mains power with constant frequency and voltage is converted into power with variable frequency and voltage.
- the power converter is, for example, a converter, a rectifier or an inverter.
- the power converter can be water-cooled and/or air-cooled.
- the power converter is used, for example, in applications with high demands on reliability and quality. Examples of applications for power converters are:
- Oil and gas pumps and compressors e .g . B. electric submersible pumps and high speed compressors
- the log file represents a log, with the detected and documented problems being log entries.
- These log entries can be warnings to alert a user to potentially critical events.
- These log entries can also be errors, i .e . H .
- Handle error messages to alert a user to an error or to document this error.
- Critical events are also errors, for example. Error messages or Warning messages generated.
- An error message can also be a fault message, for example. In the case of an error, there is therefore in particular a disturbance. Errors can lead to failure of the power converter and/or the drive or have led .
- If the drive has problems, for example, problems that are identified are documented in log entries. These log entries can be warnings - to alert the user to potentially critical events - or errors - to document the errors that caused the drive to fail .
- Warnings that indicate a suboptimal condition of the drive are currently generated by the drive or the converter to a UI (User Interface) (e.g. accessible via the HMI of the drive or the converter and/or via a ne cloud solution) .
- the warning or the warnings are then analyzed by a corresponding drive expert, measures are to be taken and implemented by the expert.
- An object of the invention is the monitoring of the converter or to improve the drive.
- a solution to the problem results from a method according to claim 1 or. according to an analysis system according to claim 11 .
- Configurations result, for example, according to claims 2 to 10 .
- a large number of warning messages are used in order to conclude that there is a fault in the power converter.
- this applies not only to a power converter but also to a drive, the drive having the power converter.
- the drive can also have a gearbox and/or an electrical machine.
- the inference that an error has occurred relates to the prediction of an error.
- the prediction of the error case thus relates to the case in which the error has not yet occurred but will occur with a certain probability after the prediction. In this case, the error particularly affects a fault in the power converter or of the drive .
- a multiplicity of warning messages are used in order to conclude that there is a fault in the converter, the converter having at least two types of warning messages, a first warning message type, with warning messages which depend on the type of converter, and a second type of warning message, with warning messages that can be defined by a user, with an evaluation for monitoring the converter a combination of warnings of the respective first type and the respective second type are used, with warnings of different types being grouped, with the grouping of warnings corresponding to elements of the power converter.
- a power converter can therefore have at least two types of warnings, a first type of warning, which depends on the type of power converter, i.e.
- a second type of warning the second type of warning having warnings that can be defined by a user, i.e. from are intended for the user, with an evaluation of a combination of errors or Warnings of the respective first type and the respective second type can be used.
- the power converter can thus be designed, for example, by a user in such a way that the user defines individual messages for the power converter.
- An example of a message is an error or a warning, i.e. an error message or a warning message.
- an individual event monitoring can be created, which is dependent on the messages created individually by the user. This improves event monitoring and can make it more accurate.
- the messages defined by the user are stored, for example, in an SOP (System Operating Program). defined there.
- Such user-defined messages can be marked as such when the message is displayed.
- User-defined messages are based, for example, on signals from I/O interfaces that arise in a system in which the power converter is integrated. Signals on which the user-defined messages are based can be digital signals or analog signals, for example. User-defined messages can be generated, for example, based on a single signal and/or based on a combination of signals.
- Such signals can relate, for example, to an emergency stop, a door being opened, a fuse blowing, undervoltage, overvoltage, a residual current, an overcurrent, a fan failure, a failure of a power module of the converter, the bypass of a power module of the current - converter, an insulation fault, an insulation warning, a communication fault, in particular a power module of the converter, a fault or warning for the cooling of the converter, a pre-charging of the converter, etc. .
- individually created messages are important for a power converter that is integrated into individual use (industrial plant). These messages created individually by a user can be used advantageously for event monitoring of the power converter in its individual environment, ie the industrial installation. This improves the quality of monitoring.
- the user of the converter is z. B. a person operating the power converter . This operation can be carried out, for example, by an operator of the power converter or by a commissioner or the like.
- warning messages can relate to the following topics, for example: temperature of a heat sink too low, temperature of a heat sink too high, current asymmetry, temperature in the power converter too high, temperature of the input reactor has almost reached the switch-off limit, cabinet heating defective, motor heating tion defective, motor winding temperature too high, insulation error, cabinet fan failed, underspeed, motor blocked and/or control voltage, etc.
- Such warning messages can be created individually, system-specifically for a power converter. Depending on the system, different requirements can be placed on the power converter.
- the cooling of the converter can also be system-specific, for example, so that individual warnings are created for a converter in a specific system environment and these are then combined into groups.
- warning messages of the second type depend on a system in which the power converter is integrated. This dependency can, for example, relate to at least one of the following aspects: external cooling of the power converter, an external temperature sensor, an external humidity sensor, an external safety sensor such as a door switch, external voltage monitoring for the power supply of controllers, sensors, etc.
- warning messages of the second type depend on a combination of signals.
- the combination can be chosen by a user.
- the combination applies in particular to Boolean operations such as AND, OR, NOT.
- Examples of signals relate in particular to the following messages: power supply for the power electronics, power supply for the open-loop and/or closed-loop control electronics, door open, door closed, etc. In this way, warnings can be designed individually by a user.
- warnings contain not only quantitatively measurable information, e .g . B. through threshold warnings, but also qualitative information about the condition of the converter or of the drive .
- Algorithms can be used here.
- warning messages are grouped, with the grouping of the warning messages corresponding to elements of the power converter.
- groups for warnings transformer, cooling, bypass, power semiconductors, cells, electrical machine, gear and/or bearing.
- Such groups can be linked to one another with regard to an analysis of the warning messages. Alerts from different groups can depend on each other.
- the warning messages can be taken from log data, for example.
- a specific time period and/or a time period after a restart of the power converter can be considered. For example, it can be achieved that only relevant warning messages that are related in time are used or to be viewed as .
- the chronological sequence results, for example, from a time stamp that is linked to a warning message (or vice versa).
- the identification, ie the marking, of the warning message can, for example, also be an urgency of the warning message, the source of the message and/or a name (description) of the warning message or the like.
- inferring an error relates to a prediction of the error event.
- Inferring an error means that based on one or more warning messages, in combination or alone, an error is expected if no countermeasures are taken.
- the expectation of the error occurring is also linked to a time specification.
- the time specification provides information, for example, when from a certain point in time (for example the sending of the warning message or the calling of the warning message) the occurrence of an error is to be expected, in particular with a certain probability. It can thus be determined, for example, that the probability of an error occurring increases by a certain value as the waiting time increases.
- At least one rule is used for monitoring, the rule being the occurrence pertains to one or more alerts in one or more groups.
- the occurrence of one or more specific errors in one or more groups can be linked and analyzed.
- an analysis of the warning messages generates a message for an impending error, ie in particular for an imminent fault. So a user of the power converter or of the drive take countermeasures.
- countermeasures of this type are determined by an analysis and, in particular, are initiated automatically.
- a severity of an impending error is determined. Appropriate measures can then be taken depending on the severity. These are, for example, planning a quick repair or ordering a spare part, which may take a little longer.
- the method it is possible to convert a large number of warning messages into a message for an impending error.
- this can also have the advantage, for example, of reducing the number of messages relevant to a user. This improves in particular the clarity and easy handling of the power converter or. drive .
- the message for an impending error which can preferably be avoided, can be abbreviated to Precog, for example. For example, this term can be understood as "pre-recognition".
- artificial intelligence is used. It is also possible, according to the method, to train the artificial intelligence. In this way, the knowledge of an expert can be replaced by artificial intelligence.
- a message is generated about the time when the fault occurred. It is also possible, for example, to analyze what further consequences the occurrence of the error has. For example, it can be analyzed whether warning messages or a message about the impending error (Precog) is advantageous to react quickly or slowly. This can be made dependent on an expected downtime, for example.
- Method according to one of Claims 1 to 7 a message about the prevention of the error occurring being generated .
- warning messages are received via the Internet.
- an analysis device can receive messages from a power converter or receive a drive over the internet. After the analysis, it is possible in particular for the analysis device to send data relating to the analysis result to a user interface (UI: our interface).
- UI user interface
- the user interface can be supplied with such data via an Internet connection, for example.
- the user interface is, for example, at the location of the power converter or of the drive , in a control room , etc .
- the invention also relates to an analysis device or an analysis system which has an analysis device.
- the analysis device the analysis system is designed in particular to carry out the method.
- the analysis system can also be referred to as a prefault system because it predicts potential faults before they occur.
- the analysis system of the power converter or In particular, the drive has an artificial intelligence, with the analysis system being spatially separated in particular from the power converter.
- there is a digital platform for optimizing drive systems, motors, power converters, etc. whereby messages or Log files are collected and/or transmitted. Data can therefore be transmitted from the power converter to an analysis system via the Internet, ie via a cloud.
- data for example a logbook (logbook data)
- logbook data is obtained from a digital platform and contains, for example, at least one of the following information:
- a drive failure is indicated, for example, by the occurrence of one or more errors after a certain error-free time, which lead to an unplanned standstill of the drive.
- An error is in particular an alarm with the severity "Error”.
- a drive failure occurs, for example, if the drive triggers a standstill due to one or more active errors.
- the analysis system is designed in particular as a pre-fault system and analyzes generated warnings using developed algorithms.
- the system thus recognizes potentially occurring errors before they actually occur.
- the analysis system takes into account a severity of a warning message in order to create a prediction for the occurrence of an error if a potential failure of the drive could occur.
- the warnings are categorized into several coherent groups and/or specific decision rules based on expert knowledge are applied to these groups. For example, four pre-fault groups can be created for warnings:
- Groups cover in particular critical parts (especially all critical parts) of the powertrain, the failure of which can be predicted over a period of at least more than two hours.
- the system issues a positive prediction for a potential drive failure from the identified group in relation to a potentially critical component of the drive.
- the groups are based on a physical connection between the warnings, whereby these warnings can be of different types, and in particular on historical or Statistical evaluations of the operating history of the respective converter type.
- the grouped warnings are therefore related to one type of error.
- a physical connection results, for example, in the group on the subject of cooling from the fact that relevant alarms (warnings), such as cooling tank level (cooling tank level), flow rate of the cooling liquid and/or temperature of the cooling liquid, are combined in this group on the topic of cooling.
- this has specific rules as a prefault system. These are rules on which it depends whether a message (precog) is to be generated for a (potential) imminent error case. become this For example, messages are deducted from the history of the logs and/or expanded by further findings.
- At least one of the following rules is used:
- At least 3 alarms in at least one of the groups Group 1 , Group 2 , Group 3
- At least 1 alarm in group 4 At least 1 alarm in group 4 .
- this is designed to report an impending error, the analysis system thus representing a pre-fault system, the analysis system being intended for a message at a specific point in time or a specific period of time, with in particular only warnings from a specific period of time at a Calculation are taken into account (e.g. warnings, i.e. warning messages, of the last 14 days (example for a maximum value).
- warnings i.e. warning messages
- the period is in particular a characteristic time that during the development of the converter or the drive was defined. This serves in particular to ensure that only relevant warnings are taken into account by the pre-fault system.
- the time stamp of a confirmed warning (confirmation time stamp) must not be in the past.
- a confirmation time stamp marks there s end of an active phase of warning .
- the confirmation time stamp is to be taken into account in the analysis.
- a first example of this can be as follows: Two critical warnings occurred one after the other in the last 24 hours. The first warning is part of group 1 and the second warning is part of group 2.
- the prefault system is activated when the second critical warning has occurred, since rule 2 (see above) can be applied here.
- a second example may result in the following: Two critical alerts occurred consecutively in the last 24 hours. Both warnings are part of Group 1.
- the prefault system is not activated when the second critical message has occurred, since no rule can be applied here. If another Group 1 message arrives after that, then an imminent error message is generated, since rule 4 (see above) can be applied.
- the analysis system makes it possible to analyze all warnings during production, i.e. especially during operation of the drive, in real time without in-depth technical knowledge. Since the constant manual analysis is very time-consuming, it was usually not carried out sufficiently in the production plant. The procedure automatically provides a prediction for potentially critical situations before they occur in order to prevent failure. Therefore, the potential downtime of the drives, for example within a production facility, can be reduced through scalability across all drives connected to the analysis device. As a result, for example, at least one of the following functions can be enabled:
- the analysis device it is possible to use the analysis device to implement a cloud analysis approach, since the log file data from the drive is stored in the cloud.
- the pre-fault system (Vorf ehlersystems) is deployed on scalable cloud instances in a suitable Python environment.
- the logs of the drive are analyzed by algorithms based on expert knowledge (with appropriate labeling) that classify log warnings into various coherent groups and apply specific decision rules to this classification that also include the occurrence and consider the acknowledgment/acknowledgment of these warnings .
- the representation according to FIG. 1 shows an overview of a monitoring method.
- a power converter 1 is monitored.
- the power converter 1 is part of a system 6 .
- the installation 6 also has a communication device 7 (DSC: Drive System Connect), which enables the converter 1 to communicate.
- Messages such as warning messages (warnings) 2 can be sent in log files (log files). Such messages relate, for example, to errors or events in general.
- Such reports are sent via the Internet 4 .
- a workstation (DSEW: Drive System Expert Workstation) can be provided for this purpose, for example. From this, information about the state of health (health grade) 8 can be sent to an interface 5 for an analysis display 9 of the drive.
- DSEW Drive System Expert Workstation
- Log data (asset logs) 10 are also sent to an analysis system 6 , the analysis system 6 having an analysis device 3 .
- the analysis device 3 is provided with an artificial intelligence, for example.
- the analysis device 3 determines the health status of the system 6 or one of its components such as the drive 1 and sends this health status 11 to the workstations 4 on the Internet.
- a model is located in the analysis system 6 .
- This model can be improved, ie updated, by means of a data analyst (data scientist) 12 .
- the data analyst 12 can provide new errors 13 to an expert 13 .
- the expert 13 can return evaluated errors 14 (labeled failures). For example, the expert 13 receives an email 15 if a future error (prefault) 15 has been determined.
- the expert 13 can also transmit information about potential errors 17 to a user 16 via a user interface (UI).
- UI user interface
- the representation according to FIG. There is a state healthy 21 , a status was warning 22, a status for an impending detected error (prefault or precog) 23 and an error status 24.
- the health status is also reduced in this order.
- the time window 18 can be guided over these states, with a timeline 25 for warnings resulting depending on the states.
- the representation according to FIG. 3 shows a truth matrix (confusion matrix) 26. This shows how a prediction including a true event can be fictitious, ie can be described.
- the representation according to Figure 4 shows the determination of a reaction time 27 up to the occurrence of an error 24.
- FIG. 5 shows the statistical prediction accuracy of a model for predictable errors.
- the distribution of the model prediction for air cooling and water cooling is shown.
- the representation according to FIG. 6 shows a flow chart similar to FIG.
- the analysis system 6 carries out the determination of the early detection of a fault and can therefore also be referred to as a prefault system.
- the analysis system 6 outputs a corresponding prefault message (prefault) 30 .
- FIGS. 7, 8 and 9 show different control representations.
- Figure 7 shows a first rule.
- Figure 8 shows a second rule.
- Figure 9 shows a third rule.
- Areas 31, 32 and 33 are formed for the various events.
- Area 31 relates to groups 34, 35, 36 and 37 in which warnings are grouped.
- warnings related to input and transformer are grouped.
- the second group 35 are messages relating to cells of the power converter, the regulation and the outputs grouped.
- the third group 36 messages are grouped into warnings relating to the cooling.
- Messages relating to warnings relating to a bypass of power semiconductors in the power converter are grouped in the fourth group 37 .
- At least one warning must be present in groups 35, 35 and 36 in order to activate, ie trigger, a prefault warning (Precog 1) 38 .
- a prefault warning Precog 1 38 .
- an error 41 can be prevented.
- FIGS. 7, 8 and 9 show, there are three different messages 38, 39 and 40 in area 32 for warnings of an impending error (Precog 1, 2 and 3).
- the area 33 for errors there are three different errors 41, 42 and 43 that are to be predicted or prevented.
- the illustration according to FIG. 8 shows a second rule, according to which at least three warnings must be present in the third group 36 in order to activate the pre-fault message (Precog 2) 39 in order to be able to predict the fault 42 or prevent it.
- the illustration according to FIG. 9 shows a third rule, according to which at least one warning must be submitted in the fourth group 37 in order to activate the pre-fault message (Precog 3) 40 in order to be able to predict the fault 43 or prevent it.
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Testing And Monitoring For Control Systems (AREA)
- Power Conversion In General (AREA)
- Inverter Devices (AREA)
- Analogue/Digital Conversion (AREA)
Abstract
Description
Claims
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
EP20201982.4A EP3985467A1 (en) | 2020-10-15 | 2020-10-15 | Monitoring of a power converter |
PCT/EP2021/078618 WO2022079242A2 (en) | 2020-10-15 | 2021-10-15 | Monitoring of a converter |
Publications (2)
Publication Number | Publication Date |
---|---|
EP4185932A2 true EP4185932A2 (en) | 2023-05-31 |
EP4185932B1 EP4185932B1 (en) | 2024-07-03 |
Family
ID=72915776
Family Applications (2)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP20201982.4A Withdrawn EP3985467A1 (en) | 2020-10-15 | 2020-10-15 | Monitoring of a power converter |
EP21797966.5A Active EP4185932B1 (en) | 2020-10-15 | 2021-10-15 | Monitoring of a power converter |
Family Applications Before (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP20201982.4A Withdrawn EP3985467A1 (en) | 2020-10-15 | 2020-10-15 | Monitoring of a power converter |
Country Status (4)
Country | Link |
---|---|
US (1) | US20230305076A1 (en) |
EP (2) | EP3985467A1 (en) |
CN (1) | CN116324656A (en) |
WO (1) | WO2022079242A2 (en) |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP3985467A1 (en) * | 2020-10-15 | 2022-04-20 | Siemens Aktiengesellschaft | Monitoring of a power converter |
Family Cites Families (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE102011087764A1 (en) * | 2011-12-05 | 2013-06-06 | Converteam Gmbh | Method for determining service life consumption of e.g. insulated gate bipolar transistor in wind energy plant, involves determining characteristics of temperature cycles, and determining service life consumption based on cycles |
WO2016148767A1 (en) * | 2015-03-16 | 2016-09-22 | Sikorsky Aircraft Corporation | Power supply condition monitor |
US11243263B2 (en) * | 2015-06-04 | 2022-02-08 | Fischer Block, Inc. | Remaining-life and time-to-failure predictions of power assets |
EP3327637B1 (en) * | 2016-11-25 | 2023-05-10 | Accenture Global Solutions Limited | On-demand fault reduction framework |
JP6380628B1 (en) * | 2017-07-31 | 2018-08-29 | 株式会社安川電機 | Power conversion apparatus, server, and data generation method |
EP3787165A1 (en) * | 2019-09-02 | 2021-03-03 | Siemens Aktiengesellschaft | Method for controlling the state of an electric device and assembly for carrying out such a method |
EP3985467A1 (en) * | 2020-10-15 | 2022-04-20 | Siemens Aktiengesellschaft | Monitoring of a power converter |
-
2020
- 2020-10-15 EP EP20201982.4A patent/EP3985467A1/en not_active Withdrawn
-
2021
- 2021-10-15 CN CN202180070802.8A patent/CN116324656A/en active Pending
- 2021-10-15 WO PCT/EP2021/078618 patent/WO2022079242A2/en active Application Filing
- 2021-10-15 US US18/031,078 patent/US20230305076A1/en active Pending
- 2021-10-15 EP EP21797966.5A patent/EP4185932B1/en active Active
Also Published As
Publication number | Publication date |
---|---|
WO2022079242A2 (en) | 2022-04-21 |
CN116324656A (en) | 2023-06-23 |
EP4185932B1 (en) | 2024-07-03 |
EP3985467A1 (en) | 2022-04-20 |
US20230305076A1 (en) | 2023-09-28 |
WO2022079242A3 (en) | 2022-07-14 |
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